SKILLEMALL.ai

AC flyai-travelmapify

Copy Xiaohongshu travel planning homework into interactive route maps with real FlyAI hotel search in seconds.

ClawHub Agent Skills author: Rudy Steiner v2.2.1 MIT-0 23 files body ≈ 3 315 tokens Open the sourceclawhub.ai analyzed 56 min ago

Copy Xiaohongshu travel planning homework into interactive route maps with real FlyAI hotel search in seconds.

As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, progress reporting

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
C
57/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 23. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 57/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web, python, node) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 85Steps. 105 steps, 1 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3315 tokens
    • 100Running it twice. Mutating operations check current state
    • low 12 top-level sections: this looks like several domains in one skill

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 110: 120–800 characters recommended
    • -35 of 11 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +4Structure: 28 headings
    • +3Step-by-step instructions: 105 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    The skill appears to implement the stated travel-map and hotel-search functionality, but there are multiple inconsistencies and surprising behaviors (embedded Amap API key, implicit environment usage, and subprocess execution of other skill code) that merit caution before installing or running.
    LLM: suspicious (medium) · VirusTotal: suspicious · 8 Apr 2026